Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing

被引：75

作者：

Cordón, O

Herrera, F ^{[1
]}

Villar, P

机构：

[1] Univ Vigo, Dept Comp Languages & Syst, Orense 32004, Spain

[2] Univ Granada, ETS Ingn Informat, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain

来源：

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING | 2000年 / 25卷 / 03期

关键词：

fuzzy rule-based systems; data base; fuzzy partition; granularity; simulated annealing;

D O I：

10.1016/S0888-613X(00)00052-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this contribution, we will analyse the importance of the fuzzy partition granularity for the linguistic variables in the design of fuzzy rule-based systems (FRBSs). In order to put this into effect, we will study the FRBS behaviour considering uniform fuzzy partitions with the same number of labels for all the linguistic variables, and considering uniform fuzzy partitions with any number of labels for each linguistic variable. We will present a method based on Simulated Annealing (SA) in order to obtain a good uniform fuzzy partition granularity that improves the FRBS behaviour. It is an efficient granularity search method for finding a good number of labels per variable. (C) 2000 Elsevier Science Inc. All rights reserved.

引用

页码：187 / 215

页数：29